DocumentCode :
3550896
Title :
Average rate in a M/M/1 processor-sharing queue
Author :
Chen, Na ; Jordan, Scott
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Irvine, CA, USA
fYear :
2005
fDate :
8-10 June 2005
Firstpage :
2359
Abstract :
We investigate the average rate per job in an open M/M/1 processor-sharing queue. We introduce three definitions of average rate as seen by the system and by each job, and present expressions for each in terms of the system rate and load. We compare the three measures and prove that they are strictly ordered over all loads. We next consider the system rate required to achieve a minimum average rate per job, and prove that it is increasing and convex. Finally, we consider the system rate required to achieve a minimum tail probability on the average rate per job, and present expressions illustrating when the system rate is constrained by the required tail probability.
Keywords :
data communication; processor scheduling; queueing theory; M/M/1 processor-sharing queue; minimum average rate per job; minimum tail probability; Context-aware services; Delay; Laplace equations; Operations research; Perturbation methods; Refining; Steady-state; Tail; Time measurement; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
ISSN :
0743-1619
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2005.1470319
Filename :
1470319
Link To Document :
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